WebAlways something new and different. Come find your treasure. Open Mon-Sa 10-5 and Sunday 12-5 WebHighlights. We propose a novel multi-head graph second-order pooling method for graph transformer networks. We normalize the covariance representation with an efficient feature dropout for generality. We fuse the first- and second-order information adaptively. Our proposed model is superior or competitive to state-of-the-arts on six benchmarks.
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Multi-head second-order pooling for graph transformer networks
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